The influence of social support, care burden, and depression on quality of life among caregivers of patients with severe mental illness: a cross-sectional survey in rural areas of Sichuan, China

Abstract Background Severe mental illness is strongly associated with an impaired quality of life. This intern can affect the treatment adherence and outcomes of the illness. However, there are insufficient studies in the literature pertaining to the quality of life of patients with severe mental illness in Ethiopia. Therefore, assessing the quality of life of patients with severe mental illness and its correlates is a yardstick measure of the effectiveness of the mental health service. Methods An institutional based cross-sectional study was conducted from May 1 to 16, 2019 at Amanuel Mental Specialized Hospital. A systematic random sampling technique was used to get a total number of 387 samples. Data were collected using interview-administered questionnaires; World Health Organization Quality of Life Brief Version, Morisky Medication Adherence Screening Tool, Oslo Social Support Scale, and Jacoby Stigma Scale. Simple and multiple linear regression analysis were used to assess the contributing factors of quality of life in the participants and B coefficient with 95% CI confidence interval was used. The statistical significance was accepted at p value < 0.05. Results The result showed that the Mean quality of life score of patients with severe mental illness for each domain (mean ± SD) was 41.3 ± 7.5, 42.8 ± 8.2, 38.9 ± 8.9, and 41.8 ± 6.5 for physical, psychological, social and environmental, respectively. Multiple regression analysis showed that age of participants was strongly positively correlated with all domains of quality of life. It predicts above 45% of the variability in each domain. Social support is also another strong predictor which was negatively correlated with all domains of quality of life, except physical. Conclusion This study revealed that the mean score quality of life of patients with severe mental illness in each domain was low. This demonstrates a need for improving the quality of life of people with severe mental illness by integration of a positive mental health approach and bio-psychosocial view with biological treatment of severe mental illness. Moreover, in Collaboration with medical professionals, people with severe mental illness should screen and managed for any comorbid medical conditions.

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The impact of social support on the health-related quality of life of adult patients with tuberculosis in Harare, Zimbabwe: a cross-sectional survey

BMC Research Notes ◽

10.1186/s13104-018-3904-6 ◽

2018 ◽

Vol 11 (1) ◽

Cited By ~ 2

Author(s):

Calvin Zarova ◽

Matthew Chiwaridzo ◽

Catherine Tadyanemhandu ◽

Debra Machando ◽

Jermaine M. Dambi

Keyword(s):

Quality Of Life ◽

Social Support ◽

Adult Patients ◽

Health Related Quality ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Related Quality ◽

Health Related ◽

The Impact

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The Influence of Social Support and Care Burden on Depression among Caregivers of Patients with Severe Mental Illness in Rural Areas of Sichuan, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16111961 ◽

2019 ◽

Vol 16 (11) ◽

pp. 1961 ◽

Cited By ~ 5

Author(s):

Xiaxia Sun ◽

Jingjing Ge ◽

Hongdao Meng ◽

Zhiguo Chen ◽

Danping Liu

Keyword(s):

Social Support ◽

Mental Illness ◽

Severe Mental Illness ◽

Family Caregivers ◽

Rural Areas ◽

Structural Equation ◽

Sichuan Province ◽

Equation Modeling ◽

Psychological Consequences ◽

Care Burden

Depression is one of the most common psychological consequences of caregiving. Caring for patients with severe mental illness (SMI) adds significant challenges to family caregivers’ mental health. The purpose of this study was to describe the prevalence of depression among caregivers of SMI patients in rural areas of Sichuan province of China, to examine the influence of social support and care burden on depression, and to explore the intermediary effect of care burden between social support and depression among caregivers of SMI patients. Data were collected from 256 primary caregivers of SMI patients in rural Sichuan Province in China. We used structural equation modeling (SEM) to test the hypothesized relationship among the variables. We found that a total of 53.5% of caregivers had depression. Both care burden (β = 0.599, 95%CI: 0.392–0.776) and social support (β = −0.307, 95%CI: (−0.494)–(−0.115)) were directly related to depression, while social support had a direct association with care burden (β = −0.506, 95%CI: (−0.672)–(−0.341)). Care burden mediated the relationship between social support and depression. For the socio-demographic variables, gender, education level and per capita annual income of household had significant correlations with depression (p < 0.05). The results strongly demonstrated that social support and care burden were predictors of depression, especially social support. Policymakers should fully recognize the role of primary family caregivers in caring for SMI patients and promote interventions to decrease care burden and reduce caregivers’ depression by improving social support and network. More attention should be given to female caregivers and caregivers with lower education and lower household income levels.

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The Correlation between Social Support and Quality of Life of Seniors without Cognitive Disorders from an Institutional Environment—A Descriptive Cross-Sectional Survey

Healthcare ◽

10.3390/healthcare8030212 ◽

2020 ◽

Vol 8 (3) ◽

pp. 212 ◽

Cited By ~ 1

Author(s):

Paweł Chruściel ◽

Beata Dobrowolska

Keyword(s):

Quality Of Life ◽

Social Support ◽

Institutional Environment ◽

Cognitive Disorders ◽

Subjective Assessment ◽

Survey Method ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Social Nature

The aim of this study was to confirm the correlation between social support and the quality of life of seniors who live without cognitive disorders, but are living in an institutional environment. The measurement of variables was based on a cross-sectional survey method. A representative sample of 957 seniors participated in the survey. The study covered public nursing homes (NHs) and residential care homes (RCHs) selected for the study by stratified sampling. The results confirmed a linear correlation between social support and the quality of life of seniors (p < 0.001). It was also confirmed that there were differences in the range of studied variables depending on the type of institution (NH versus RCH; p < 0.001). Social support is a significant component, and at the same time, a modifier of the perception of the quality of life for older people. Its variable level determines the subjective assessment of functioning in particular domains of quality of life. RCH as an institution of a social nature satisfies the needs for support at a higher level than NH, which translates into a better perception of older people’s quality of life.

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Social support predicted quality of life in people receiving haemodialysis treatment: A cross‐sectional survey

Nursing Open ◽

10.1002/nop2.533 ◽

2020 ◽

Vol 7 (5) ◽

pp. 1517-1525

Author(s):

Ali Alshraifeen ◽

Sami Al‐Rawashdeh ◽

Karimeh Alnuaimi ◽

Fatmeh Alzoubi ◽

Muath Tanash ◽

...

Keyword(s):

Quality Of Life ◽

Social Support ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Haemodialysis Treatment

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Predictors of quality of life of older persons in rural Uganda: A cross sectional study

AAS Open Research ◽

10.12688/aasopenres.12874.2 ◽

2018 ◽

Vol 1 ◽

pp. 22 ◽

Cited By ~ 1

Author(s):

Fred Maniragaba ◽

Betty Kwagala ◽

Emmanuel Bizimungu ◽

Stephen Ojiambo Wandera ◽

James Ntozi

Keyword(s):

Quality Of Life ◽

Rural Areas ◽

Older Persons ◽

Cross Sectional Study ◽

Poor Quality ◽

Hiv And Aids ◽

Cross Sectional Survey ◽

Cross Sectional ◽

The Government

Background: Little is known about the quality of life of older persons (OPs) in Uganda in particular, and Africa in general. This study examined factors associated with quality of life of older persons in rural Uganda. Method: We performed a cross-sectional survey of 912 older persons from the four regions of Uganda. Data were analyzed at univariate, bivariate and multivariate level where ordinal logistic regression was applied. Results: Older persons in northern (OR=0.39; CI=0.224-0.711) and western (OR=0.33; CI=0.185-0.594) regions had poor quality of life relative to those in central region. Those who were HIV positive had poor quality of life (OR=0.45; CI=0.220-0.928) compared to those who were HIV negative. In contrast, living in permanent houses predicted good quality of life (OR=2.04; CI=1.391-3.002). Older persons whose household assets were controlled by their spouses were associated with good quality of life (OR=2.06;CI=1.032-4.107) relative to those whose assets were controlled by their children. Conclusion: Interventions mitigating the HIV and AIDS related Quality of life should target older persons. The government of Uganda should consider improving housing conditions for older persons in rural areas.

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